Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
df = px.data.gapminder()
df = df.loc[df['year'] == 2007]
df = df.groupby('continent').sum()
fig1 = px.bar(df, x="pop", y=df.index, orientation='h', color=["orange", "red","green", "blue","purple"], text_auto='.2s')
fig1.update_layout(barmode='stack', yaxis={'categoryorder':'total descending'})
fig1.show()
df = px.data.gapminder()
df = df.loc[df['year'] == 2007]
df = df.groupby('continent').sum()
fig1 = px.bar(df, x="pop", y=df.index, orientation='h', color=["orange", "red","green", "blue","purple"], text_auto='.2s')
fig1.update_layout(barmode='stack', yaxis={'categoryorder':'total descending'})
fig1.show()
Add text to each bar that represents the population
df = px.data.gapminder()
df = df.loc[df['year'] == 2007]
df = df.groupby('continent').sum()
fig1 = px.bar(df, x="pop", y=df.index, orientation='h', color=["orange", "red","green", "blue","purple"], text_auto='.2s')
fig1.update_layout(barmode='stack', yaxis={'categoryorder':'total descending'})
fig1.show()
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
df = px.data.gapminder()
fig = px.bar(df, x="continent", y="pop", animation_frame="year", color="continent", hover_name="country",
range_y=[0,4000000000])
fig["layout"].pop("updatemenus") # optional, drop animation buttons
fig.show()
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
df = px.data.gapminder()
fig = px.bar(df, x="country", y="pop", animation_frame="year", animation_group="country", color="continent", hover_name="country",
range_y=[0,1000000000])
fig["layout"].pop("updatemenus") # optional, drop animation buttons
fig.update_layout(barmode='stack', xaxis={'categoryorder':'total descending'})
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
# YOUR CODE HERE
df = px.data.gapminder()
fig = px.bar(df, x="country", y="pop", animation_frame="year", animation_group="country", color="continent", hover_name="country",
range_y=[0,2000000000], height=1000)
fig["layout"].pop("updatemenus") # optional, drop animation buttons
fig.update_layout(barmode='stack', xaxis={'categoryorder':'total descending'})
# YOUR CODE HERE
# YOUR CODE HERE
df = px.data.gapminder()
fig = px.bar(df, x="country", y="pop", animation_frame="year", animation_group="country", color="continent", hover_name="country",
range_y=[0,2000000000], height=400 , width = 1000)
fig["layout"].pop("updatemenus") # optional, drop animation buttons
fig.update_layout(barmode='stack', xaxis={'categoryorder':'total descending'})
fig.update_xaxes(range=(-0.5, 9.5))
fig.show()